Covid-19 pandemic and its economic impacts: An interactive exploration on Indonesian provincial data
Harry Aginta, Ragdad Cani Miranti, Carlos Mendez
The coronavirus (Covid-19) outbreaks that led to a serious health crisis has brought major disruptions on the economy in many countries, including Indonesia. Firstly identified in early March 2020, the pandemic has started to affect Indonesian economy in Q1-2020. Yet the situation is even worse in Q2-2020. How bad is that? This publication is intended to explore the economic impacts of Covid-19 pandemic across Indonesian provinces from Q1 to Q2-2020. Apart from Covid-19 cases and economic growth data, we also include jobs and community mobility data from Google to capture the impact of Covid-19 outbreaks on regional employment and people mobility.
Suggested Citation:
Harry, A. Cani, R.M, Mendez, C (2020). Covid-19 pandemic and its economic impacts: An interactive exploration on Indonesian provincial data. Available at https://rpubs.com/haginta/covid19-econ-impacts-indonesia.
This work is licensed under the Creative Commons Attribution-Share Alike 4.0 International License. 
knitr::opts_chunk$set(echo = TRUE, warning=FALSE)
library(tidyverse) # Modern data science workflow
library(sf) # Simple features for R
library(tmap) # Thematic Maps
library(tmaptools) # Thematic Maps Tools
library(RColorBrewer) # ColorBrewer Palettes
library(leaflet) # Interactive web maps
library(rgdal) # Bindings for the Geospatial Data Abstraction Library
library(rgeos) # Interface to Geometry Engine - Open Source
# Change the presentation of decimal numbers to 4 and avoid scientific notation
options(prompt="R> ", digits=4, scipen=999)1 Load non-spatial data
2 Load dataframe of definitions
library(readr)
df_definitions <- read_delim("df_def.csv", ";", escape_double = FALSE,
trim_ws = TRUE)Parsed with column specification:
cols(
var_name = [31mcol_character()[39m,
var_def = [31mcol_character()[39m,
source = [31mcol_character()[39m,
type = [31mcol_character()[39m
)